About This Project

Evidence Over Narrative

Society is trying to figure out what AI means for work and the answers keep changing.

For years I’ve wanted a single place that synthesizes what we actually know about AI’s impact on economic opportunity: not the hype, not the doom, but the evidence.

This site started as a way to track how predictions about displacement, wages, adoption, and corporate behavior evolve as new research, data, and real-world evidence emerge. It quickly grew into something more: a resource for simplifying complex economic research on how AI will impact jobs so that anyone — whether you’re a workforce leader, a parent with a college-bound kid, or just someone trying to plan — can engage with this new and unclear future in a clear-headed way.

Explore the visualizations ( job tasks, full economy, predictions ) and explainers ( J-Curve, historical context, demand elasticity, early indicators ) or chat with Gob, our friendly research-backed robot. The goal is to help the people who need it most have a more thoughtful, evidence-grounded response to what’s ahead.

Who’s behind this?

Matt Zieger built this as a personal project...to learn, know how to better advise his kids on what the future will look like for them, and to just maybe help everyone else wrestling with these questions navigate an uncertain new world. While not formally affiliated with his day job, Matt is Chief Program & Partnership Officer at the GitLab Foundation, where he leads the AI for Economic Opportunity Fund and co-founded OpportunityAI.

Matt Zieger started this as a weekend vibe coding project 96 days ago. In total this has cost $1,705.83.

Have ideas? Reach out on LinkedIn or X.

Methodology & Sources

Full documentation of how we collect, weight, combine, and present evidence across every section of the site.

Read the full methodology

Recently Added

A.I. Doesn't Have to Mean Layoffs

News·Added May 29, 2026

I'm the C.E.O. of Goldman Sachs. The A.I. Job Apocalypse Is Overblown.

News·May 22, 2026

Entry-Level Hiring in the AI Era: What Employers Are Thinking (and Doing)

Institutional·Added May 20, 2026

Solopreneurs, Solow, and the SaaSpocalypse

Institutional·May 19, 2026

Generative AI in Daily Business Practice: Synthesis of Micro-Level Firm Evidence

Research·Added May 18, 2026

Discursive Construction of the Expert Gig Economy by Leading AI Labs

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Do Job Postings Show Early Labor-Market Effects of AI?

Research·May 14, 2026

What We Do and Don't Know About How AI is Affecting the Labor Market

Research·Added May 11, 2026

Expertise

Research·Added May 11, 2026

AI Coding Agents Redistribute Work Across Pull Request Lifecycles

Institutional·Added May 11, 2026

Use of artificial intelligence in enterprises (isoc_eb_ai)

Research·Added May 11, 2026

AI Will Not Destroy the Job Market

News·May 8, 2026

The "AI Job Apocalypse" Is a Complete Fantasy

News·May 6, 2026

US Daily: Forecasting Productivity Growth: Slow to Adjust, Quick to Overshoot

Institutional·May 5, 2026

What Jobs Can AI Learn? Measuring Exposure by Reinforcement Learning

Research·May 4, 2026

The A.I. Fear Keeping Silicon Valley Up at Night

News·Added Apr 30, 2026

How (un)Stable Are LLM Occupational Exposure Scores? Evidence from Multi-Model Replication

Research·Apr 27, 2026

The task is not the job: A supply-side answer to Amodei and Imas

News·Apr 24, 2026

What Makes New Work Different from More Work?

Research·Apr 24, 2026

Shaping Human Capital and Work Practices in a Changing Labor Market

Institutional·Apr 24, 2026